Hyeyoung Shin

Recurrent pattern completion drives the neocortical representation of sensory inference

The paper identifies a sparse set of neurons in the mouse visual cortex that mediate illusory contour inference through recurrent pattern completion.

Feature-specific inhibitory connectivity augments the accuracy of cortical representations

The paper shows that feature-specific inhibitory connectivity in cortical circuits enhances the accuracy of visual representations by enabling completion or cancelation of activity patterns.

Intrinsic geometry of trial-to-trial variability in primary visual cortex is optimal for robust representation of visual similarity

The paper shows that trial-to-trial variability in mouse primary visual cortex follows a log-log slope of 1, enabling robust and continuous representations of visual stimuli.

Probing inter-areal computations with a cellular resolution two-photon holographic mesoscope

The paper introduces a two-photon holographic mesoscope for high-resolution mapping of functional connectivity and causal interactions across brain areas.

Thalamocortical mechanisms regulating the relationship between transient beta events and human tactile perception

This study investigates how thalamocortical beta events influence tactile perception using MEG and biophysical modeling, finding both suppressive and facilitatory effects depending on timing.

A supragranular nexus for the effects of neocortical beta events on human tactile perception

The paper investigates how neocortical beta events influence tactile perception using MEG and computational modeling, finding that beta events suppress sensory processing through GABAB inhibition.

Persistent Gamma Spiking in Non-Sensory Fast-Spiking Cells Predicts Perceptual Success

The paper identifies a non-sensory fast-spiking interneuron subtype that predicts perceptual success through persistent gamma spiking, independent of LFP power.

The rate of transient beta frequency events predicts impaired function across tasks and species

The paper shows that the rate of transient high-power beta events in brain signals predicts impaired function across human and mouse tasks.